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Found 5 papers, 3 papers with code
From Commit Message Generation to History-Aware Commit Message Completion
We use this dataset to evaluate the completion setting and the usefulness of the historical context for state-of-the-art CMG models and GPT-3. 5-turbo.
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs
We used the logs to collect a dataset of code completions from users, and employed it to train a ranking CatBoost model.
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation
In this work, we explore the applicability of existing solutions for the bug triage problem when stack traces are used as the main data source of bug reports.
Unsupervised Learning of General-Purpose Embeddings for Code Changes
As for the commit message generation, our model demonstrated the same results as supervised models trained for this specific task, which indicates that it can encode code changes well and can be improved in the future by pre-training on a larger dataset of easily gathered code changes.
Sosed: a tool for finding similar software projects
We use a dataset of 9 million GitHub projects as a reference search base.
Software Engineering
